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# # PPP + PPK Processing of EMLID Reach RS+ GPS data
#... | PPK_Processing/.ipynb_checkpoints/PPP_Processing-checkpoint.ipynb |
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from TextPreprocessing import TextPreprocessing
from s... | modules/.ipynb_checkpoints/combined_sentiment_analysis-checkpoint.ipynb |
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# the original wind file from copernicus has wind for ... | notebooks/copernicus to PNG (Py 3).ipynb |
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import pandas as pd
import requests
import os, json
fr... | notebooks/data_analysis.ipynb |
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// + tags=["remove-cell"]
#pragma cling add_i... | timesteppers.ipynb |
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# ## Starting a Binary Classification Project
#
# **Au... | Initiating Projects/Python/Starting a Binary Classification Project.ipynb |
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# To Get P values, the stats model API is used her... | MachineLearning/.ipynb_checkpoints/LinearModel_StatsModelAPI_withPoisson-checkpoint.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | Workshop2/notebooks/06 - Gradient Boosting.ipynb |
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import os
import gc
import time
import pickle
imp... | regression/kaggle santander value prediction/OUR_VALIDATION_20x5.ipynb |
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# # Run a model with config files
#
# For FuxiCTR v1.1... | tutorials/v1.1/run_model_with_config_file.ipynb |
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import p... | Hora 4.ipynb |
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# #Linear regression attempts to model the... | ML2/linear_regression/linear_regression.ipynb |
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# # Redshift: column value distribution
# ## setup
#... | rs_column_distribution.ipynb |
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import glob
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from fuzzywuzzy import fuzz
impo... | pipeline/Organize_pg_decoded_summaries.ipynb |
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# ### MNIST for Beginners
# ### from https://www.tenso... | weekly-work/week1/MNIST_for_beginners.ipynb |
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import os
import sys
sys.path.insert(0, os.getenv(... | amftrack/notebooks/analysis/check_alignment.ipynb |
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# # Decision Analytics with Python
# ## JupyterLab No... | 2019-10-02-melanieshimano-python-intro-analytics.ipynb |
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# title: "Make Simulated Data For Regression"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "Make a simulated dataset for regression using scikit-learn."
# type: technical_note
# draft: false
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from keras.layers import Input, Dense, Conv1D, MaxPool... | feature-engineering/Autoencoders v3.ipynb |
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# imports
import numpy as np
from scipy.stats import m... | py/MOT - N known objects tracking.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Adlink_OpenVINO_APT_installer_TensorFlow_Image_Classification.ipynb |
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# # Formula analysis
... | formulas/formula_analysis.ipynb |
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# RUN THIS CODE ONCE AND UPLOAD THE RESULTING CSV ... | Scripts/.ipynb_checkpoints/get_en_reviews-checkpoint.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
i... | notebooks/ML4-Linear-Casualties-Year.ipynb |
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# + pycharm={"name": "#%%\n"}
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impor... | PythonBarCharts/matplot_grouped_bars.ipynb |
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name = "John"
f'Hello, {name}!'
name = "Mike"
age = 3... | 03. String Handling/.ipynb_checkpoints/7. String Interpolation or f-Strings (Python 3.6+)-checkpoint.ipynb |
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# + [markdown] id="o3EBzjcz9VBO" colab_type="text"
# # T81-577: Applied Data ... | final_project/final_project.ipynb |
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# # Homework #4
# ## Name - <NAME>
# ## Subject - AST... | astr-119-hw-4/hw-4.ipynb |
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import panel as pn
import numpy as np
import pyvista a... | examples/gallery/demos/VTKWarp.ipynb |
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# # OUTDATED, the examples moved to the gallery
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# # Read data
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# ---------------------------------- Imports -... | chat-app/translate.ipynb |
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# # MSTICPy Pivot Functions
#
# ## What are ... | MSTICPy-TutorialNotebooks/PivotFunctions.ipynb |
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# # Introduction to Python Using the `datascience` Lib... | minilabs/introduction-to-python-datascience-using-the-datascience-library/intro_to_python_minilab_1.ipynb |
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# Note you may have to install request... | _notebooks/.ipynb_checkpoints/06-Scraping-checkpoint.ipynb |
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# # Striplog basics
# This notebooks looks at the main `st... | tutorial/Striplog_basics.ipynb |
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# + [markdown] colab_type="text" id="-pVhOfzLx9us"
# #Waymo Open Dataset Tuto... | tutorial/tutorial.ipynb |
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from bs4 import BeautifulSoup
import requests
imp... | Mission_to_Mars/mars_mission_code.ipynb |
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# + [markdown] deletable=true editable=true
# # Collab... | courses/machine_learning/deepdive/10_recommend/wals.ipynb |
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# Import libraries
from collections import Counter, Or... | jupyter_notebooks/embeddings_rs.ipynb |
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# + [markdown] deletable=true editable=true... | lineage_graph_with_py2neov5.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Hypothesis_testing_sprint_challenge_complete.ipynb |
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# # Neural networks
#
# For this assignment we will im... | Jiang_Assignment_5/Jiang_Assignment_5.ipynb |
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# # Overview
# In this notebook you will be doing a... | notebooks/assignments/assignment-5-rho-t-test-chi-square.ipynb |
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import os
import csv
import MDAnalysis
import subproce... | python_tornado/test_dssp.ipynb |
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from __future__ import print_function, division
import ... | Assignment4/question4_cal_beta_step.ipynb |
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import os, sys, time, threading, collections
from ... | Notebooks/06_ReinforcementLearning/12 2 DQN training.ipynb |
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import numpy as np
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import matplotl... | snippets/ML Sketches/reg_boston_personal.ipynb |
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# ## Exercises
#
# ### 5.1 Draw the three basic signal... | lessons/Jupyter Notebooks/Solutions/Signal Processing Exercises Solutions.ipynb |
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x=input()
print(x)
x=input("Enter Your Name:")
x=in... | 2.ipynb |
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import sys ###rea... | section_robot/read_robot_py.ipynb |
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# ## No module named 'MySQLdb' error
#
# - 이 에러는 pytho... | python/No module named 'MySQLdb' error.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | section_2/02_pytorch_transformers.ipynb |
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# + [markdown] id="L8S5y3HqPUWU"
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# ##... | Task6.ipynb |
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# + [markdown] id="0zfKrCTsKndk"
# #First-Order IIR Filter
# The first order ... | IIR Filter/First_Order_IIR_filter.ipynb |
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# # Mapping with `splot` and `PySAL`
# ### Imports
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# # A four-headed cat state
# Author: <NAME>
# In th... | docs/gallery/four_cat.ipynb |
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# # Gilkatón
from docx import Document
import re
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# # <center> Functions</center>
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# This run has smaller size lstm.
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# This run has val... | mixLSTMResults/project_combine_cnn_lstm_smaller_lstm.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | playground/mirco_nani/words2words_matcher_tests/domain_specific/notebook/results.ipynb |
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# <img style="float: left" src="images/ucl_logo.png">
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# [Original Notebook Downloaded From Kaggl... | kaggle/beginners/pima_indians-diabetes/diabetes-prediction-randomforestclassifier.ipynb |
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# # Day 6
#
# Let's use a orbital map to help us use g... | day-6.ipynb |
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# # Transforming and Combining Data
#
# In the previou... | Florence Wangechi WT - 021-089/20.ipynb |
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# # Configure Target Users
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# + colab={"base_uri": "https://localhost:8080/"} id="... | 4_synthetic_data_attention/testing focus net for diff classify net toy mosaic/toy_problem_Mosaic_type3_testing_what_net_500_epochs.ipynb |
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# In this notebook, we will try to replicate what Tens... | NN from Scratch.ipynb |
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# # 2.2 数据操作
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torch.manual_s... | code/chapter02_prerequisite/2.2_tensor.ipynb |
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# # enumerate()
#
# In this lecture we will learn abou... | 09-Built-in Functions/05-Enumerate.ipynb |
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# # Meta Reinforcement Learning with A3C
#
# This iPyt... | A3C-Meta-Bandit.ipynb |
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# # A brief explanation of the revamped CBRAIN module
... | quickstart.ipynb |
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# <a href="https://githubtocolab.com/giswqs/geemap/blo... | examples/notebooks/47_image_thumbnails.ipynb |
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import time
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# + [markdown] id="view-in-github" colab_type="text"
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# # Cifar 10 integration test
#
# ## Configuration
# ... | integration_tests/pixels/cifar10_test.ipynb |
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# # Training Deep Neural Networks
# <table align="lef... | HW3_training_deep_neural_networks.ipynb |
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# ### Develop Your First Neural Network in Python With... | keras/HelloWorld/my_keras_HelloWorld.ipynb |
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# ## Image Segmentation アノテーション済みのpngファイル・colormapダウンロ... | notebook/datalake_file_segmentation_merge_sample.ipynb |
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# <p style="text-align: center; font-size: 35px;"><b>S... | paper.ipynb |
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# 4 Pillars of OOP
# Encapsulation
# A simple cla... | oop6.ipynb |